All jobs
Larian Studios logo
Larian Studios

68 open roles · Technology

Machine Learning Engineer

Full-time
Posted 1 month ago
Apply on company siteYou’ll apply directly with the employer on Lever.
Added to ZestAmigo
Last seen on employer site

Where you can work

On-site

Guildford, England, United Kingdom

View location wording from the posting
Guildford, GB

Role overview

Extracted from the posting. Read the employer’s full description below.

What you will do

  • Explore opportunities for the application of ML techniques to optimize and improve our game engine, game creation pipelines, and ultimately enhance the player experience
  • Maintain and improve the current ML systems that are critical to our development pipelines
  • Educate all developers across the global studio in the domain and application of ML and associated technologies
  • Generate, gather and build a knowledge base of research and expertise in the domain and application of ML

What they are looking for

  • At least 4 years of experience in Machine Learning Engineering
  • Proficient in python
  • Degree in a technical field such as Machine Learning, Computer Science, Mathematics, or equivalent practical experience
  • Passionate about AI, ML, and computational statistics
  • Open minded, willing to experiment, collaborate and iterate within a technical domain
Show all 8 items
  • Good written and spoken English
  • Enjoy coaching and mentoring
  • This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity

Employer description

With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Machine Learning Engineer to join the team and help us in crafting the high calibre games our fans have come to expect.

Responsibilities

  • Explore opportunities for the application of ML techniques to optimize and improve our game engine, game creation pipelines, and ultimately enhance the player experience
  • Maintain and improve the current ML systems that are critical to our development pipelines
  • Educate all developers across the global studio in the domain and application of ML and associated technologies
  • Generate, gather and build a knowledge base of research and expertise in the domain and application of ML

Requirements

  • At least 4 years of experience in Machine Learning Engineering
  • Proficient in python
  • Degree in a technical field such as Machine Learning, Computer Science, Mathematics, or equivalent practical experience
  • Passionate about AI, ML, and computational statistics
  • Open minded, willing to experiment, collaborate and iterate within a technical domain
  • Good written and spoken English
  • Enjoy coaching and mentoring
  • This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity

Nice to Haves

  • Experience in the gaming industry
  • Proficient in C++
  • Experience in ML Ops (docker, K8s) and Reinforcement Learning

What We Offer

  • An international team of over 500 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
  • An open, collaborative environment where ideas are welcome and encouraged
  • A managerial team consisting of highly experienced game developers at the top of their fields
  • Sharing hobbies and passions with like-minded colleagues
  • Inclusive environment with many activities organized by the studios or the employees
  • Commitment to making the best game possible for the fans, including listening to community feedback
Track this application

Keep your own notes. Only you can mark an application as sent.

Report a problem with this listing

Sign in to report this listing.

More at Larian Studios

On-site

Warsaw, Mazovia, Poland

Full-time

Salary unavailable

Posted 4 months ago

Source: Lever

Similar roles elsewhere

Unspecified

London, England, United Kingdom +1 more

Full-time · Lead

Salary unavailable

Posted 19 hours ago

Source: Greenhouse

Remote

Remote eligibility: Eligibility not captured

London, England, United Kingdom

Full-time · Lead

Salary unavailable

Posted 1 week ago

Source: SmartRecruiters

Unspecified

The Hague, South Holland, The Netherlands +1 more

Employment type unspecified

Salary unavailable

Posted yesterday

Source: Greenhouse